S^(h}>dZddlZddlZddlmZddlmZmZmZm Z m Z ddl Z ddl m cmZddl m Z ddlmZddlmZmZmZdd lmZdd lmZmZmZmZdd lmZmZm Z m!Z!m"Z"m#Z#d d l$m%Z%m&Z&m'Z'e!jPe)Z*dZ+dZ,dZ-dZ.d\dZ/de j`de j`fdZ1eGddeZ2eGddeZ3eGddeZ4Gdde jjZ6Gdde jjZ7Gd d!e jjZ8Gd"d#e jjZ9Gd$d%e jjZ:Gd&d'e jjZ;Gd(d)e jjZ<Gd*d+e jjZ=Gd,d-e jjZ>Gd.d/e jjZ?Gd0d1e jjZ@Gd2d3e jjZAd4ZBd5ZCd6ZDd7ZEGd8d9e jjZFGd:d;e jjZGGd<d=e jjZHGd>d?e jjZId@eHiZJGdAdBe jjZKGdCdDe jjZLGdEdFe jjZMGdGdHe jjZNGdIdJe jjZOGdKdLe jjZPGdMdNeZQGdOdPeQZRGdQdReQZSeeBGdSdTeQZTedUeBGdVdWeQZUedXeBGdYdZeQZVgd[ZWy)]zPyTorch CLAP model.N) dataclass)AnyListOptionalTupleUnion)nn)ACT2FN))BaseModelOutputWithPastAndCrossAttentionsBaseModelOutputWithPooling,BaseModelOutputWithPoolingAndCrossAttentions)PreTrainedModel)apply_chunking_to_forward find_pruneable_heads_and_indicesmeshgridprune_linear_layer) ModelOutputadd_start_docstrings%add_start_docstrings_to_model_forwardloggingreplace_return_docstrings torch_int)ClapAudioConfig ClapConfigClapTextConfigzlaion/clap-htsat-fusedc|j\}}}|dddddddfjdd|d}|j|||z|}|S)ae Interpolate data in time domain. This is used to compensate the resolution reduction in downsampling of a CNN. Args: hidden_states (`torch.FloatTensor` of shape (batch_size, time_length, classes_num)): Input hidden states ratio (`int`): The ratio of the length of the output to the length of the input. Nr)shaperepeatreshape) hidden_statesratio batch_size time_length classes_num upsampleds d/var/www/skyplay_api_hub/venv/lib/python3.12/site-packages/transformers/models/clap/modeling_clap.py interpolater)3sX.;-@-@*ZkaD!m,33Aq%CI!!*kE.A;OI c|j\}}}}|j|||z|||z||}|jddddddjjd|||}|S)aR Returns the resized hidden states. The output shape should be `(batch_size * num_windows, window_size, window_size, num_channels)` Args: hidden_states (`torch.FloatTensor` of shape `(batch_size, height, width, num_channels)`): Input hidden states window_size (`int`): Window size rrr rviewpermute contiguous)r" window_sizer$heightwidth num_channelswindowss r(window_partitionr9Ds}/<.A.A+J|!&&Fk);8Lk[gM##Aq!Q15@@BGGKYdfrsG Nr*c|jd}|jd||z||z|||}|jddddddjjd|||}|S)a Merges windows to produce higher resolution features. Args: windows (`torch.FloatTensor` of shape `(num_windows * batch_size, window_size, window_size, num_channels)`): Input windows window_size (`int`): Window size height (`int`): Height of the resized audio width (`int`): Width of the resized audio r/rrr r,r-r.r0)r8r4r5r6r7s r(window_reverser;Ysn==$Lll2v4e{6JKYdfrsGooaAq!Q/::<AA"feUabG Nr*c|j|j}tj|dj ||z|z}|j |zS)a Replace non-padding symbols with their position numbers. Position numbers begin at padding_idx+1. Padding symbols are ignored. This is modified from fairseq's `utils.make_positions`. Args: x: torch.Tensor x: Returns: torch.Tensor rdim)neinttorchcumsumtype_aslong) input_ids padding_idxpast_key_values_lengthmaskincremental_indicess r("create_position_ids_from_input_idsrJmsW << $ ( ( *D <<!4<